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  1. CDT_Data_Review_Master_Specific_Template CDT_Data_Review_Master_Specific_TemplatePublic

    This is a spreadsheet data file reviewer. It is designed in compatibility with a SPECIFIC DATA TEMPLATE to clean and transform credit data received by the credit bureaux from credit data providers …

    Jupyter Notebook

  2. CDT_Data_Review_Master_All_Templates CDT_Data_Review_Master_All_TemplatesPublic

    This is a robust spreadsheet data file reviewer. It is designed in compatibility with ALL DATA TEMPLATES to clean and transform credit data received by the credit bureaux from credit data providers…

    Jupyter Notebook

  3. Data_Quality_Feedback-Bulk_Email_Drafter Data_Quality_Feedback-Bulk_Email_DrafterPublic

    After the processing of credit data submissions received from the data providers, data quality feedback is shared with each data provider. This task can be hectic especially when you are sending to…

    Jupyter Notebook

  4. Syndicated_File_Chunker Syndicated_File_ChunkerPublic

    This Python script splits large DLT files into smaller chunks, intelligently renames the output files, and updates record counts dynamically, ensuring unique and well-structured file management for…

  5. uk-road-traffic-accident-analysis uk-road-traffic-accident-analysisPublic

    Interactive Excel dashboard analysing 307,973 UK road traffic accidents (2021–2022) across 422 districts. Covers severity, temporal, infrastructure and environmental risk factors with cross-filteri…

  6. project-vogue-engagement-analysis project-vogue-engagement-analysisPublic

    Interactive Power BI report analysing participation, retention and satisfaction across 16 Yoruba cultural heritage sessions.

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
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  1. CDT_Data_Review_Master_Specific_Template CDT_Data_Review_Master_Specific_TemplatePublic

    This is a spreadsheet data file reviewer. It is designed in compatibility with a SPECIFIC DATA TEMPLATE to clean and transform credit data received by the credit bureaux from credit data providers …

    Jupyter Notebook

  2. CDT_Data_Review_Master_All_Templates CDT_Data_Review_Master_All_TemplatesPublic

    This is a robust spreadsheet data file reviewer. It is designed in compatibility with ALL DATA TEMPLATES to clean and transform credit data received by the credit bureaux from credit data providers…

    Jupyter Notebook

  3. Data_Quality_Feedback-Bulk_Email_Drafter Data_Quality_Feedback-Bulk_Email_DrafterPublic

    After the processing of credit data submissions received from the data providers, data quality feedback is shared with each data provider. This task can be hectic especially when you are sending to…

    Jupyter Notebook

  4. Syndicated_File_Chunker Syndicated_File_ChunkerPublic

    This Python script splits large DLT files into smaller chunks, intelligently renames the output files, and updates record counts dynamically, ensuring unique and well-structured file management for…

  5. uk-road-traffic-accident-analysis uk-road-traffic-accident-analysisPublic

    Interactive Excel dashboard analysing 307,973 UK road traffic accidents (2021–2022) across 422 districts. Covers severity, temporal, infrastructure and environmental risk factors with cross-filteri…

  6. project-vogue-engagement-analysis project-vogue-engagement-analysisPublic

    Interactive Power BI report analysing participation, retention and satisfaction across 16 Yoruba cultural heritage sessions.

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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  1. CDT_Data_Review_Master_Specific_Template CDT_Data_Review_Master_Specific_TemplatePublic

    This is a spreadsheet data file reviewer. It is designed in compatibility with a SPECIFIC DATA TEMPLATE to clean and transform credit data received by the credit bureaux from credit data providers …

    Jupyter Notebook

  2. CDT_Data_Review_Master_All_Templates CDT_Data_Review_Master_All_TemplatesPublic

    This is a robust spreadsheet data file reviewer. It is designed in compatibility with ALL DATA TEMPLATES to clean and transform credit data received by the credit bureaux from credit data providers…

    Jupyter Notebook

  3. Data_Quality_Feedback-Bulk_Email_Drafter Data_Quality_Feedback-Bulk_Email_DrafterPublic

    After the processing of credit data submissions received from the data providers, data quality feedback is shared with each data provider. This task can be hectic especially when you are sending to…

    Jupyter Notebook

  4. Syndicated_File_Chunker Syndicated_File_ChunkerPublic

    This Python script splits large DLT files into smaller chunks, intelligently renames the output files, and updates record counts dynamically, ensuring unique and well-structured file management for…

  5. uk-road-traffic-accident-analysis uk-road-traffic-accident-analysisPublic

    Interactive Excel dashboard analysing 307,973 UK road traffic accidents (2021–2022) across 422 districts. Covers severity, temporal, infrastructure and environmental risk factors with cross-filteri…

  6. project-vogue-engagement-analysis project-vogue-engagement-analysisPublic

    Interactive Power BI report analysing participation, retention and satisfaction across 16 Yoruba cultural heritage sessions.

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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  1. CDT_Data_Review_Master_Specific_Template CDT_Data_Review_Master_Specific_TemplatePublic

    This is a spreadsheet data file reviewer. It is designed in compatibility with a SPECIFIC DATA TEMPLATE to clean and transform credit data received by the credit bureaux from credit data providers …

    Jupyter Notebook

  2. CDT_Data_Review_Master_All_Templates CDT_Data_Review_Master_All_TemplatesPublic

    This is a robust spreadsheet data file reviewer. It is designed in compatibility with ALL DATA TEMPLATES to clean and transform credit data received by the credit bureaux from credit data providers…

    Jupyter Notebook

  3. Data_Quality_Feedback-Bulk_Email_Drafter Data_Quality_Feedback-Bulk_Email_DrafterPublic

    After the processing of credit data submissions received from the data providers, data quality feedback is shared with each data provider. This task can be hectic especially when you are sending to…

    Jupyter Notebook

  4. Syndicated_File_Chunker Syndicated_File_ChunkerPublic

    This Python script splits large DLT files into smaller chunks, intelligently renames the output files, and updates record counts dynamically, ensuring unique and well-structured file management for…

  5. uk-road-traffic-accident-analysis uk-road-traffic-accident-analysisPublic

    Interactive Excel dashboard analysing 307,973 UK road traffic accidents (2021–2022) across 422 districts. Covers severity, temporal, infrastructure and environmental risk factors with cross-filteri…

  6. project-vogue-engagement-analysis project-vogue-engagement-analysisPublic

    Interactive Power BI report analysing participation, retention and satisfaction across 16 Yoruba cultural heritage sessions.

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
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  1. CDT_Data_Review_Master_Specific_Template CDT_Data_Review_Master_Specific_TemplatePublic

    This is a spreadsheet data file reviewer. It is designed in compatibility with a SPECIFIC DATA TEMPLATE to clean and transform credit data received by the credit bureaux from credit data providers …

    Jupyter Notebook

  2. CDT_Data_Review_Master_All_Templates CDT_Data_Review_Master_All_TemplatesPublic

    This is a robust spreadsheet data file reviewer. It is designed in compatibility with ALL DATA TEMPLATES to clean and transform credit data received by the credit bureaux from credit data providers…

    Jupyter Notebook

  3. Data_Quality_Feedback-Bulk_Email_Drafter Data_Quality_Feedback-Bulk_Email_DrafterPublic

    After the processing of credit data submissions received from the data providers, data quality feedback is shared with each data provider. This task can be hectic especially when you are sending to…

    Jupyter Notebook

  4. Syndicated_File_Chunker Syndicated_File_ChunkerPublic

    This Python script splits large DLT files into smaller chunks, intelligently renames the output files, and updates record counts dynamically, ensuring unique and well-structured file management for…

  5. uk-road-traffic-accident-analysis uk-road-traffic-accident-analysisPublic

    Interactive Excel dashboard analysing 307,973 UK road traffic accidents (2021–2022) across 422 districts. Covers severity, temporal, infrastructure and environmental risk factors with cross-filteri…

  6. project-vogue-engagement-analysis project-vogue-engagement-analysisPublic

    Interactive Power BI report analysing participation, retention and satisfaction across 16 Yoruba cultural heritage sessions.

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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  1. CDT_Data_Review_Master_Specific_Template CDT_Data_Review_Master_Specific_TemplatePublic

    This is a spreadsheet data file reviewer. It is designed in compatibility with a SPECIFIC DATA TEMPLATE to clean and transform credit data received by the credit bureaux from credit data providers …

    Jupyter Notebook

  2. CDT_Data_Review_Master_All_Templates CDT_Data_Review_Master_All_TemplatesPublic

    This is a robust spreadsheet data file reviewer. It is designed in compatibility with ALL DATA TEMPLATES to clean and transform credit data received by the credit bureaux from credit data providers…

    Jupyter Notebook

  3. Data_Quality_Feedback-Bulk_Email_Drafter Data_Quality_Feedback-Bulk_Email_DrafterPublic

    After the processing of credit data submissions received from the data providers, data quality feedback is shared with each data provider. This task can be hectic especially when you are sending to…

    Jupyter Notebook

  4. Syndicated_File_Chunker Syndicated_File_ChunkerPublic

    This Python script splits large DLT files into smaller chunks, intelligently renames the output files, and updates record counts dynamically, ensuring unique and well-structured file management for…

  5. uk-road-traffic-accident-analysis uk-road-traffic-accident-analysisPublic

    Interactive Excel dashboard analysing 307,973 UK road traffic accidents (2021–2022) across 422 districts. Covers severity, temporal, infrastructure and environmental risk factors with cross-filteri…

  6. project-vogue-engagement-analysis project-vogue-engagement-analysisPublic

    Interactive Power BI report analysing participation, retention and satisfaction across 16 Yoruba cultural heritage sessions.

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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  1. CDT_Data_Review_Master_Specific_Template CDT_Data_Review_Master_Specific_TemplatePublic

    This is a spreadsheet data file reviewer. It is designed in compatibility with a SPECIFIC DATA TEMPLATE to clean and transform credit data received by the credit bureaux from credit data providers …

    Jupyter Notebook

  2. CDT_Data_Review_Master_All_Templates CDT_Data_Review_Master_All_TemplatesPublic

    This is a robust spreadsheet data file reviewer. It is designed in compatibility with ALL DATA TEMPLATES to clean and transform credit data received by the credit bureaux from credit data providers…

    Jupyter Notebook

  3. Data_Quality_Feedback-Bulk_Email_Drafter Data_Quality_Feedback-Bulk_Email_DrafterPublic

    After the processing of credit data submissions received from the data providers, data quality feedback is shared with each data provider. This task can be hectic especially when you are sending to…

    Jupyter Notebook

  4. Syndicated_File_Chunker Syndicated_File_ChunkerPublic

    This Python script splits large DLT files into smaller chunks, intelligently renames the output files, and updates record counts dynamically, ensuring unique and well-structured file management for…

  5. uk-road-traffic-accident-analysis uk-road-traffic-accident-analysisPublic

    Interactive Excel dashboard analysing 307,973 UK road traffic accidents (2021–2022) across 422 districts. Covers severity, temporal, infrastructure and environmental risk factors with cross-filteri…

  6. project-vogue-engagement-analysis project-vogue-engagement-analysisPublic

    Interactive Power BI report analysing participation, retention and satisfaction across 16 Yoruba cultural heritage sessions.

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
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Popular repositories Loading

  1. CDT_Data_Review_Master_Specific_Template CDT_Data_Review_Master_Specific_TemplatePublic

    This is a spreadsheet data file reviewer. It is designed in compatibility with a SPECIFIC DATA TEMPLATE to clean and transform credit data received by the credit bureaux from credit data providers …

    Jupyter Notebook

  2. CDT_Data_Review_Master_All_Templates CDT_Data_Review_Master_All_TemplatesPublic

    This is a robust spreadsheet data file reviewer. It is designed in compatibility with ALL DATA TEMPLATES to clean and transform credit data received by the credit bureaux from credit data providers…

    Jupyter Notebook

  3. Data_Quality_Feedback-Bulk_Email_Drafter Data_Quality_Feedback-Bulk_Email_DrafterPublic

    After the processing of credit data submissions received from the data providers, data quality feedback is shared with each data provider. This task can be hectic especially when you are sending to…

    Jupyter Notebook

  4. Syndicated_File_Chunker Syndicated_File_ChunkerPublic

    This Python script splits large DLT files into smaller chunks, intelligently renames the output files, and updates record counts dynamically, ensuring unique and well-structured file management for…

  5. uk-road-traffic-accident-analysis uk-road-traffic-accident-analysisPublic

    Interactive Excel dashboard analysing 307,973 UK road traffic accidents (2021–2022) across 422 districts. Covers severity, temporal, infrastructure and environmental risk factors with cross-filteri…

  6. project-vogue-engagement-analysis project-vogue-engagement-analysisPublic

    Interactive Power BI report analysing participation, retention and satisfaction across 16 Yoruba cultural heritage sessions.